Jasti Sai Krishna, T.M.Sirisha, K. Valli Madhavi
The proposed method is used for effective retrieval of an image. By using various Discrete Wavelet transform (DWT) sub bands, which are used to extract the features from a texture image using CBIR method. Content Based Images Retrieval (CBIR) is used for searching images based on visual content of the image. The vital features of images are colour, shape and texture. In this paper, an efficient image retrieval based on texture can be proposed. This paper describes a novel technique of feature extraction to a texture image at multiple scales based on block by block comparison of Wavelet Transformation. Here, user will give a query image for this we will extract the image features by using proposed method. DWT technique will decompose the image into 2 levels, after that we will check similarity measurement. Same procedure is carried out for the image database and then by comparing the query mean with image database then user retrieves the images which are having similar mean.
texture, Wavelet transform, feature extraction, CBIR, image retrieval, DWT.